Radial Video Recommendation Browsing Interface
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Solution Overview
Problem
Conventional video search engines struggle to present search results in an intuitive and visually appealing manner, especially in vast video repositories, where users cannot easily identify relevant content without playing each video, and long lists of links fail to show correlations among videos.
Innovation Solution
A system and method for visual browsing of video recommendations, using a visual video browsing server with a visual presentation module that displays recommendations as orbiting videos around a central video, based on weighted covisitation measures and recommendation scores, allowing users to intuitively browse and visualize multiple groups of video recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional search results are presented as a long list of links or thumbnails, then the quantity of search results can be displayed, but the ease of operation deteriorates because users cannot visually identify relevant content without playing each video
Solution Approach 1:
The patent transitions from a one-dimensional linear list of search results to a two-dimensional radial arrangement where videos are displayed in circular orbits around a central video. This dimensional change allows users to visually perceive relationships between videos through their spatial positions and orbital paths, enabling intuitive identification of relevant content without playing each video.
Solution Approach 2:
The patent segments search results into multiple orbital groups around different central videos, with each orbit representing a set of related videos. This segmentation organizes the vast quantity of search results into manageable visual clusters that can be easily browsed and compared, improving ease of operation while maintaining comprehensive result display.
2Quantity of substance
If search results are presented as a long list of links, then the quantity of search results can be displayed, but the visual presentation of correlations among videos deteriorates
Solution Approach 1:
The patent uses radial geometry to encode correlation information in the spatial arrangement of videos. Videos that are more correlated appear closer together in the radial orbit, while less correlated videos are positioned farther apart. This visual encoding preserves correlation information that would otherwise be lost in a linear list format.
Solution Approach 2:
The patent employs circular orbital paths to display video relationships, where the curved radial arrangement naturally visualizes hierarchical and associative connections. The circular geometry provides an intuitive framework for understanding video correlations through orbital proximity and arrangement, maintaining correlation information while displaying numerous results.
3Measurement precision
If users must play each video to determine relevance, then the accuracy of result identification can be maintained, but the loss of time increases significantly
Solution Approach 1:
The patent provides a visual dimension for evaluating video relevance through spatial arrangement in the radial display. Users can quickly assess relevance by observing positional relationships, orbital patterns, and visual thumbnails in the radial layout, eliminating the need to play each video while maintaining accurate relevance identification.
Solution Approach 2:
The patent creates visual copies of video information through thumbnails and radial positioning that represent video content and relationships. These visual representations allow users to evaluate video relevance through the display itself without needing to play the actual video files, significantly reducing time loss while maintaining identification accuracy.
Data Source
AI summary
A system, method and various user interfaces enable visually browsing multiple groups of video recommendations. A group of video recommendations includes a central video and a set of related videos displayed at its corresponding display distance from the central video and from each other. The corresponding display distance of a video is calculated as a function of the video's recommendation score and correlation with other videos of the group. The recommendation score is generated based on a weighted covisitation measure. Visually presenting recommended videos to a user provides a quick and intuitive way to find videos of interest and visualize the browsing of the recommended videos.